Delivery Leadership
3 weeks ago
Experience: 14+ years
Work Location: Mumbai/Bangalore (Hybrid)
As a Senior Engagement Manager, you will be responsible for heading and managing the customer engagements, and delivery efforts in a B2B environment for Customer service teams of various organizations.
Roles & Responsibilities
Client Management
Managing customer communication, relationships and escalation management
Guide the client on technology evaluation, technical thought leadership and direction
Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals
Showcase thought leadership on technology roadmaps, agile development methodologies and best practices
Take a lead in preparing functional and technical specification documents
Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions
Project Delivery
Own the complete project lifecycle by managing the solutioning, engineering, testing, release and maintenance.
Lead project deliveries while managing multiple responsibilities in high paced environment, where you are empowered to make a difference.
Lead engagements with multiple work-streams; prepare project plans and manage deliverables.
Guide and help team members to debug and solve technical problems.Project deliverables reviews and follow through till issues closure.
Review and perform code walkthrough and quality reviews.
Conflict resolution and dependency management.
Team management
Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers.
Ensure proper skill development of team members.
Guide and help team members to debug and solve technical problems.
Travel to customer sites, conferences, and other related events as required.
Required Skills
Experience in Gen AI is a must.
Excellent client communication, analytical and presentation skills.
Ability to work with minimal supervision in a dynamic and time sensitive work environment.
Experience to manage a midsize team (30-50) is a must.
Experience in Artificial Intelligence, Data Science and Cloud Technologies.
Problem-solving mindset and ability to guide the team to resolve project issues.
Good grasp of risk management, scope management and project profitability.
Nice to have skills
Design and solutioning experience using services and tools of cloud platforms like GCP/AWS/Azure.
Understanding of the latest trends in data management, cloud storage and hybrid cloud architecture.
Good understanding of application data security and infrastructure security
Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal building and client presentation.
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